Generated by Cython 3.0.5

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Click on a line that starts with a "+" to see the C code that Cython generated for it.

Raw output: clm.c

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 0002: # cython: c_string_encoding=utf8
 0003: 
+0004: import ctypes
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+0005: from functools import singledispatch, partial
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+0006: import math
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+0007: import random
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+0008: import subprocess
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+0009: import tempfile
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+0010: import time
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+0011: import types
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 0012: import cython
 0013: from cython.cimports.cpython.mem import PyMem_Malloc, PyMem_Realloc, PyMem_Free
 0014: from cython cimport view
+0015: import numpy as np
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 0016: cimport numpy as np
+0017: import numpy.typing as npt
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 0018: cimport pysndlib.cclm as cclm
 0019: cimport pysndlib.csndlib as csndlib
+0020: from pysndlib.sndlib import Sample, Header
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+0021: import sys
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+0022: import os
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 0023: 
 0024: 
 0025: 
 0026: 
+0027: np.import_array()
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 0028: 
 0029: 
 0030: 
 0031: # --------------- clm enums ---------------- #
+0032: cpdef enum Interp:
enum __pyx_t_8pysndlib_3clm_Interp {
  __pyx_e_8pysndlib_3clm_NONE,
  __pyx_e_8pysndlib_3clm_LINEAR,
  __pyx_e_8pysndlib_3clm_SINUSOIDAL,
  __pyx_e_8pysndlib_3clm_ALL_PASS,
  __pyx_e_8pysndlib_3clm_LAGRANGE,
  __pyx_e_8pysndlib_3clm_BEZIER,
  __pyx_e_8pysndlib_3clm_HERMITE
};
 0033:     """
 0034:     various interpolation types
 0035:     """
 0036:     NONE, LINEAR,SINUSOIDAL, ALL_PASS, LAGRANGE, BEZIER, HERMITE
 0037: 
+0038: cpdef enum Window:
enum __pyx_t_8pysndlib_3clm_Window {
  __pyx_e_8pysndlib_3clm_RECTANGULAR,
  __pyx_e_8pysndlib_3clm_HANN,
  __pyx_e_8pysndlib_3clm_WELCH,
  __pyx_e_8pysndlib_3clm_PARZEN,
  __pyx_e_8pysndlib_3clm_BARTLETT,
  __pyx_e_8pysndlib_3clm_HAMMING,
  __pyx_e_8pysndlib_3clm_BLACKMAN2,
  __pyx_e_8pysndlib_3clm_BLACKMAN3,
  __pyx_e_8pysndlib_3clm_BLACKMAN4,
  __pyx_e_8pysndlib_3clm_EXPONENTIAL,
  __pyx_e_8pysndlib_3clm_RIEMANN,
  __pyx_e_8pysndlib_3clm_KAISER,
  __pyx_e_8pysndlib_3clm_CAUCHY,
  __pyx_e_8pysndlib_3clm_POISSON,
  __pyx_e_8pysndlib_3clm_GAUSSIAN,
  __pyx_e_8pysndlib_3clm_TUKEY,
  __pyx_e_8pysndlib_3clm_DOLPH_CHEBYSHEV,
  __pyx_e_8pysndlib_3clm_HANN_POISSON,
  __pyx_e_8pysndlib_3clm_CONNES,
  __pyx_e_8pysndlib_3clm_SAMARAKI,
  __pyx_e_8pysndlib_3clm_ULTRASPHERICAL,
  __pyx_e_8pysndlib_3clm_BARTLETT_HANN,
  __pyx_e_8pysndlib_3clm_BOHMAN,
  __pyx_e_8pysndlib_3clm_FLAT_TOP,
  __pyx_e_8pysndlib_3clm_BLACKMAN5,
  __pyx_e_8pysndlib_3clm_BLACKMAN6,
  __pyx_e_8pysndlib_3clm_BLACKMAN7,
  __pyx_e_8pysndlib_3clm_BLACKMAN8,
  __pyx_e_8pysndlib_3clm_BLACKMAN9,
  __pyx_e_8pysndlib_3clm_BLACKMAN10,
  __pyx_e_8pysndlib_3clm_RV2,
  __pyx_e_8pysndlib_3clm_RV3,
  __pyx_e_8pysndlib_3clm_RV4,
  __pyx_e_8pysndlib_3clm_MLT_SINE,
  __pyx_e_8pysndlib_3clm_PAPOULIS,
  __pyx_e_8pysndlib_3clm_DPSS,
  __pyx_e_8pysndlib_3clm_SINC
};
 0039:     """
 0040:     many useful windows
 0041:     """
 0042:     RECTANGULAR, HANN, WELCH, PARZEN, BARTLETT, HAMMING, BLACKMAN2, BLACKMAN3, BLACKMAN4, EXPONENTIAL, RIEMANN, KAISER, CAUCHY, POISSON, GAUSSIAN, TUKEY, DOLPH_CHEBYSHEV, HANN_POISSON, CONNES, SAMARAKI, ULTRASPHERICAL, BARTLETT_HANN, BOHMAN, FLAT_TOP, BLACKMAN5, BLACKMAN6, BLACKMAN7, BLACKMAN8, BLACKMAN9, BLACKMAN10, RV2, RV3, RV4, MLT_SINE, PAPOULIS, DPSS, SINC,
 0043: 
+0044: cpdef enum Spectrum:
enum __pyx_t_8pysndlib_3clm_Spectrum {
  __pyx_e_8pysndlib_3clm_IN_DB,
  __pyx_e_8pysndlib_3clm_NORMALIZED,
  __pyx_e_8pysndlib_3clm_RAW
};
 0045:     """
 0046:     types of normalizations when using the spectrum function. The results are in dB if IN_DB, or linear and normalized to 1.0 NORMALIZED, or linear unnormalized RAW
 0047:     """
 0048:     IN_DB, NORMALIZED, RAW
 0049: 
+0050: cpdef enum Polynomial:
enum __pyx_t_8pysndlib_3clm_Polynomial {
  __pyx_e_8pysndlib_3clm_EITHER_KIND,
  __pyx_e_8pysndlib_3clm_FIRST_KIND,
  __pyx_e_8pysndlib_3clm_SECOND_KIND,
  __pyx_e_8pysndlib_3clm_BOTH_KINDS
};
 0051:     """
 0052:     used for polynomial based gens 
 0053:     """
 0054:     EITHER_KIND, FIRST_KIND, SECOND_KIND, BOTH_KINDS
 0055: 
 0056: 
 0057: 
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+0158: csndlib.mus_error_set_handler(<csndlib.mus_error_handler_t *>clm_error_handler)
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 0159: 
 0160: 
+0161: cdef bint is_simple_filter(gen: mus_any):
static int __pyx_f_8pysndlib_3clm_is_simple_filter(struct __pyx_obj_8pysndlib_3clm_mus_any *__pyx_v_gen) {
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/* … */
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}
+0162:     return cclm.mus_is_one_zero(gen._ptr) or cclm.mus_is_one_pole(gen._ptr) or cclm.mus_is_two_zero(gen._ptr) or cclm.mus_is_two_pole(gen._ptr)
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 0163: 
 0164: 
 0165: # cdef bint is_poly(gen: mus_any):
 0166: #     return cclm.mus_is_polywave(gen._ptr) or cclm.mus_is_polyshape(gen._ptr) 
 0167: 
 0168: # todo add mus_set_xcoeff and mus_set_ycoeff
 0169: 
 0170: # --------------- extension types ---------------- #
 0171: 
+0172: cdef class mus_any:
struct __pyx_obj_8pysndlib_3clm_mus_any {
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};
/* … */
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 0173:     """
 0174:     a wrapper class for mus_any pointers in c
 0175:     
 0176:     instances of this class have the following properties, which may be 
 0177:     used if supported by the type of generator used to make the instance:
 0178:     
 0179:     
 0180:     """
 0181: 
 0182:     cdef cclm.mus_any *_ptr
 0183:     cdef bint ptr_owner
 0184:     cdef cclm.input_cb _inputcallback
 0185:     cdef cclm.edit_cb _editcallback
 0186:     cdef cclm.analyze_cb _analyzecallback
 0187:     cdef cclm.synthesize_cb _synthesizecallback
 0188:     cdef list _cache
 0189:     cdef cclm.mus_float_t* _data_ptr
 0190:     cdef np.ndarray _data
 0191:     cdef cclm.mus_float_t* _xcoeffs_ptr
 0192:     cdef np.ndarray _xcoeffs
 0193:     cdef cclm.mus_float_t* _ycoeffs_ptr
 0194:     cdef np.ndarray _ycoeffs
 0195:     cdef cclm.mus_float_t* _pv_amp_increments_ptr
 0196:     cdef np.ndarray _pv_amp_increments
 0197:     cdef cclm.mus_float_t* _pv_amps_ptr
 0198:     cdef np.ndarray _pv_amps
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 1921:     """
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 1931:     """
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 1941: # but no other way to do it with cython without changing sndlib code
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 1984:     """
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 1998:     returns True if gen is a pulsed_env.
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 2005: # todo envelope-interp different than env-interp
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 2007: # ---------------- table-lookup ---------------- #
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 2013:     """
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 2021:     :param interp_type: type of interpolation used
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 2038: 
 2039:     #print(frequency, initial_phase, wave, size, interp_type)
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 2043: 
+2044: cpdef cython.double table_lookup(gen: mus_any, fm: Optional[float]=None):
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 2257: 
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 2259:     """
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 2587: 
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 2589:     """
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 2901:     """
 2902:     two pole filter of input.
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 2919: 
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+3419: cpdef cython.double comb(gen: mus_any, insig: float, pm: Optional[float]=None):
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PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds
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PyObject *__pyx_args, PyObject *__pyx_kwds
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PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds
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PyObject *__pyx_args, PyObject *__pyx_kwds
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 3535:     """
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/* … */
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/* … */
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 4945: 
 4946: 
 4947: #########################################
 4948: # basic file reading/writing to/from nympy arrays
 4949: # note all of this assumes numpy dtype is np.double
 4950: # also assumes shape is (chan, length)
 4951: # a mono file that is 8000 samples long should
 4952: # be a numpy array created with something like
 4953: # arr = np.zeroes((1,8000), dtype=np.double)
 4954: # librosa follows this convention
 4955: #  todo : look at allowing something like np.zeroes((8000), dtype=np.double)
 4956: # to just be treated as mono sound buffer 
 4957: # the python soundfile library does this differently 
 4958: # and would use 
 4959: # arr = np.zeros((8000,1), dtype=np.double))
 4960: # this seems less intuitive to me 
 4961: # very issue to translate with simple np.transpose()
 4962: 
 4963: 
 4964: # cpdef sndinfo(filename):
 4965: #     """returns a dictionary of info about a sound file including write date (data), sample rate (srate),
 4966: #     channels (chans), length in samples (samples), length in second (length), comment (comment), and loop information (loopinfo)"""
 4967: #     date = csndlib.mus_sound_write_date(filename)
 4968: #     srate = csndlib.mus_sound_srate(filename)
 4969: #     chans = csndlib.mus_sound_chans(filename)
 4970: #     samples = csndlib.mus_sound_samples(filename)
 4971: #     comment = csndlib.mus_sound_comment(filename) 
 4972: #     length = samples / (chans * srate)
 4973: # 
 4974: #     header_type = header(mus_sound_header_type(filename))
 4975: #     sample_type = sample(mus_sound_sample_type(filename))
 4976: #     
 4977: #     loop_info = mus_sound_loop_info(filename)
 4978: #     if loop_info:
 4979: #         loop_modes = [loop_info[6], loop_info[7]]
 4980: #         loop_starts = [loop_info[0], loop_info[2]]
 4981: #         loop_ends = [loop_info[1], loop_info[3]]
 4982: #         base_note = loop_info[4]
 4983: #         base_detune = loop_info[5]
 4984: #     
 4985: #         loop_info = {'sustain_start' : loop_starts[0], 'sustain_end' : loop_ends[0], 
 4986: #                     'release_start' : loop_starts[2], 'release_end' : loop_ends[1],
 4987: #                     'base_note' : base_note, 'base_detune' : base_detune, 
 4988: #                     'sustain_mode' : loop_modes[0], 'release_mode' : loop_modes[1]}
 4989: #     
 4990: #     info = {'date' : time.localtime(date), 'srate' : srate, 'chans' : chans, 'samples' : samples,
 4991: #             'comment' : comment, 'length' : length, 'header_type' : header_type, 'sample_type' : sample_type,
 4992: #             'loop_info' : loop_info}
 4993: #     return info
 4994: 
 4995: # def sound_loop_info(filename):
 4996: #     """returns a dictionary of info about a sound file including write date (data), sample rate (srate),
 4997: #     channels (chans), length in samples (samples), length in second (length), comment (comment), and loop information (loopinfo)"""
 4998: #     
 4999: #     loop_info = sndlib.mus_sound_loop_info(filename)
 5000: #     if loop_info:
 5001: #         loop_modes = [loop_info[6], loop_info[7]]
 5002: #         loop_starts = [loop_info[0], loop_info[2]]
 5003: #         loop_ends = [loop_info[1], loop_info[3]]
 5004: #         base_note = loop_info[4]
 5005: #         base_detune = loop_info[5]
 5006: #     
 5007: #         loop_info = {'sustain_start' : loop_starts[0], 'sustain_end' : loop_ends[0], 
 5008: #                     'release_start' : loop_starts[2], 'release_end' : loop_ends[1],
 5009: #                     'base_note' : base_note, 'base_detune' : base_detune, 
 5010: #                     'sustain_mode' : loop_modes[0], 'release_mode' : loop_modes[1]}
 5011: #     return info
 5012: #     
 5013: # cpdef np.ndarray file2array(filename: str, channel: Optional[int]=0, beg: Optional[int]=None, dur: Optional[int]=None):
 5014: #     """
 5015: #     return an ndarray with samples from file
 5016: #     """
 5017: #     length = dur or csndlib.mus_sound_framples(filename)
 5018: #     chans = csndlib.mus_sound_chans(filename)
 5019: #     srate = csndlib.mus_sound_srate(filename)
 5020: #     bg = beg or 0
 5021: #     out = np.zeros(length, dtype=np.double)
 5022: #     
 5023: #     cdef double [:] out_view = None
 5024: #     out_view = out
 5025: # 
 5026: #     csndlib.mus_file_to_array(filename,channel, bg, length, &out_view[0])
 5027: #     return out
 5028: #     
 5029: # def channel2array(filename: str, channel: Optional[int]=0, beg: Optional[int]=None, dur: Optional[int]=None): 
 5030: #     length = dur or mus_sound_framples(filename)
 5031: #     srate = mus_sound_srate(filename)
 5032: #     bg = beg or 0
 5033: #     out = np.zeros((1, length), dtype=np.double)
 5034: #     mus_file_to_array(filename,channel, bg, length, out[0].ctypes.data_as(ctypes.pointer(ctypes.c_double)))
 5035: #     return out
 5036: # 
 5037: # def calc_length(start, dur):
 5038: #     st = seconds2samples(start)
 5039: #     nd = seconds2samples(start+dur)
 5040: #     return st, nd
 5041: # 
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 5052:     cdef cython.longlong _location
 5053:     cdef cython.longlong _length
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